{"title":"利用59.54 keV伽马射线通过理论方法和MCNP模拟确定材料的有效原子序数","authors":"H. Sabouri-Gerdeh, F. Zolfagharpour","doi":"10.1016/j.net.2025.103866","DOIUrl":null,"url":null,"abstract":"<div><div>In this Study, we aimed to calculate the effective atomic number (<span><math><mrow><msub><mi>Z</mi><mtext>eff</mtext></msub></mrow></math></span>) of commonly used alloy, polymer, and compound materials by computing Rayleigh and Compton scattering cross-sections using MCNP simulations and theoretical methods. The simulations were performed under experimental conditions, where the samples were exposed to emitted gamma rays from a <sup>241</sup>Am source, and the Rayleigh-to-Compton (R/C) ratio of them was measured at a 70° scattering angle with an HPGe detector. The simulation results shows that, <span><math><mrow><msub><mi>Z</mi><mtext>eff</mtext></msub></mrow></math></span> values ranged from 6.32 (Bakelite) to 67.37 (HgI<sub>2</sub>) across 25 materials. These values were also calculated using 15 theoretical methods and compared with available experimental results across different energies. Statistical analysis shows strong correlations (0.746–0.999) between material characteristics (ρ, μ<sub>m</sub>, σ<sub>a</sub>, σ<sub>e</sub>, σ<sub>m</sub>, N<sub>e</sub>) and results from experimental, theoretical, and simulation methods. Correlation coefficients between simulation, experimental, and theoretical results, especially between experimental and simulation results are very high (0.997–0.999) with P-values below 0.008, which indicates the significance of the results of this Study and the effectiveness of this method in determining <span><math><mrow><msub><mi>Z</mi><mtext>eff</mtext></msub></mrow></math></span> for different materials. Our results also showed that the dependence of the quantity R/C on <span><math><mrow><msub><mi>Z</mi><mtext>eff</mtext></msub></mrow></math></span> for heavy and light materials are respectively <span><math><mrow><msubsup><mi>Z</mi><mtext>eff</mtext><mn>4.38</mn></msubsup></mrow></math></span> and <span><math><mrow><msubsup><mi>Z</mi><mtext>eff</mtext><mn>2.46</mn></msubsup></mrow></math></span>.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 1","pages":"Article 103866"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determination of the effective atomic number of materials using 59.54 keV gamma rays through theoretical approaches and MCNP simulation\",\"authors\":\"H. Sabouri-Gerdeh, F. Zolfagharpour\",\"doi\":\"10.1016/j.net.2025.103866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this Study, we aimed to calculate the effective atomic number (<span><math><mrow><msub><mi>Z</mi><mtext>eff</mtext></msub></mrow></math></span>) of commonly used alloy, polymer, and compound materials by computing Rayleigh and Compton scattering cross-sections using MCNP simulations and theoretical methods. The simulations were performed under experimental conditions, where the samples were exposed to emitted gamma rays from a <sup>241</sup>Am source, and the Rayleigh-to-Compton (R/C) ratio of them was measured at a 70° scattering angle with an HPGe detector. The simulation results shows that, <span><math><mrow><msub><mi>Z</mi><mtext>eff</mtext></msub></mrow></math></span> values ranged from 6.32 (Bakelite) to 67.37 (HgI<sub>2</sub>) across 25 materials. These values were also calculated using 15 theoretical methods and compared with available experimental results across different energies. Statistical analysis shows strong correlations (0.746–0.999) between material characteristics (ρ, μ<sub>m</sub>, σ<sub>a</sub>, σ<sub>e</sub>, σ<sub>m</sub>, N<sub>e</sub>) and results from experimental, theoretical, and simulation methods. Correlation coefficients between simulation, experimental, and theoretical results, especially between experimental and simulation results are very high (0.997–0.999) with P-values below 0.008, which indicates the significance of the results of this Study and the effectiveness of this method in determining <span><math><mrow><msub><mi>Z</mi><mtext>eff</mtext></msub></mrow></math></span> for different materials. Our results also showed that the dependence of the quantity R/C on <span><math><mrow><msub><mi>Z</mi><mtext>eff</mtext></msub></mrow></math></span> for heavy and light materials are respectively <span><math><mrow><msubsup><mi>Z</mi><mtext>eff</mtext><mn>4.38</mn></msubsup></mrow></math></span> and <span><math><mrow><msubsup><mi>Z</mi><mtext>eff</mtext><mn>2.46</mn></msubsup></mrow></math></span>.</div></div>\",\"PeriodicalId\":19272,\"journal\":{\"name\":\"Nuclear Engineering and Technology\",\"volume\":\"58 1\",\"pages\":\"Article 103866\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nuclear Engineering and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1738573325004346\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NUCLEAR SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Engineering and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1738573325004346","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Determination of the effective atomic number of materials using 59.54 keV gamma rays through theoretical approaches and MCNP simulation
In this Study, we aimed to calculate the effective atomic number () of commonly used alloy, polymer, and compound materials by computing Rayleigh and Compton scattering cross-sections using MCNP simulations and theoretical methods. The simulations were performed under experimental conditions, where the samples were exposed to emitted gamma rays from a 241Am source, and the Rayleigh-to-Compton (R/C) ratio of them was measured at a 70° scattering angle with an HPGe detector. The simulation results shows that, values ranged from 6.32 (Bakelite) to 67.37 (HgI2) across 25 materials. These values were also calculated using 15 theoretical methods and compared with available experimental results across different energies. Statistical analysis shows strong correlations (0.746–0.999) between material characteristics (ρ, μm, σa, σe, σm, Ne) and results from experimental, theoretical, and simulation methods. Correlation coefficients between simulation, experimental, and theoretical results, especially between experimental and simulation results are very high (0.997–0.999) with P-values below 0.008, which indicates the significance of the results of this Study and the effectiveness of this method in determining for different materials. Our results also showed that the dependence of the quantity R/C on for heavy and light materials are respectively and .
期刊介绍:
Nuclear Engineering and Technology (NET), an international journal of the Korean Nuclear Society (KNS), publishes peer-reviewed papers on original research, ideas and developments in all areas of the field of nuclear science and technology. NET bimonthly publishes original articles, reviews, and technical notes. The journal is listed in the Science Citation Index Expanded (SCIE) of Thomson Reuters.
NET covers all fields for peaceful utilization of nuclear energy and radiation as follows:
1) Reactor Physics
2) Thermal Hydraulics
3) Nuclear Safety
4) Nuclear I&C
5) Nuclear Physics, Fusion, and Laser Technology
6) Nuclear Fuel Cycle and Radioactive Waste Management
7) Nuclear Fuel and Reactor Materials
8) Radiation Application
9) Radiation Protection
10) Nuclear Structural Analysis and Plant Management & Maintenance
11) Nuclear Policy, Economics, and Human Resource Development